Printer Data Tagging for Process Quality Analysis
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Solution Overview
Problem
Existing technologies struggle to effectively associate the behavior of manufacturing apparatuses with the quality of deliverables, making it difficult to identify and improve processes that result in defects.
Innovation Solution
An information processing apparatus that assigns first information about the success or failure of a process and second information about the execution timing of the process to data that changes based on the apparatus's state, enabling the association of process results with corresponding measured data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measured data is stored without associating process execution information, then data storage is simple, but data analysis accuracy deteriorates due to inability to distinguish normal and abnormal process data
Solution Approach 1:
The patent segments measured data into distinct groups based on process execution results by appending unique identifiers (process ID, execution result, execution timing) to file names. This segmentation allows data from normal and abnormal processes to be stored separately, enabling accurate analysis without complex management overhead.
Solution Approach 2:
The patent performs preliminary action by recording process execution information (process ID, execution result, timing) at the time of data generation and embedding it in the file name before data storage. This preliminary tagging eliminates the need for complex post-processing association operations, simplifying data management while ensuring analysis accuracy.
2Productivity
If process execution information is recorded in separate files, then data association is complex, but data retrieval efficiency improves
Solution Approach 1:
The patent merges process execution information and measured data into a single unified file by embedding execution details (process ID, result, timing) directly in the file name. This merging eliminates the need for separate association files and complex retrieval operations, improving both efficiency and simplifying management.
Solution Approach 2:
The file name acts as an intermediary that contains both process execution information and measured data identifiers. This intermediary structure enables direct correlation between process results and measured data without requiring separate association mechanisms, simplifying file management while maintaining retrieval efficiency.
3Loss of information
If no execution timing information is recorded, then data storage is simpler, but causal analysis between process behavior and quality deteriorates
Solution Approach 1:
The patent performs preliminary action by recording execution timing information at the moment of process execution and embedding it in the file name. This ensures complete information is captured upfront, enabling causal analysis between process behavior and quality outcomes without adding complex data structures.
Solution Approach 2:
The patent segments timing information into distinct, identifiable components within the file name structure, allowing easy extraction and analysis of execution timing data. This segmentation preserves information completeness while maintaining a manageable data structure that doesn't overly complicate the system.
Data Source
AI summary
An information processing apparatus acquires information about an apparatus that executes a predetermined process and assigns first information about success or failure of the execution of the predetermined process and second information about an execution timing of the predetermined process to data that changes depending on a state of the apparatus.